Modelling the spatial distribution of three marine fish species in the southern Benguela

 

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dc.contributor.advisor Shin, Yunne-jai en_ZA
dc.contributor.advisor Yemane, Dawit en_ZA
dc.contributor.author Wilkes, Chris en_ZA
dc.date.accessioned 2014-09-22T12:00:24Z
dc.date.available 2014-09-22T12:00:24Z
dc.date.issued 2013 en_ZA
dc.identifier.citation Wilkes, C. 2013. Modelling the spatial distribution of three marine fish species in the southern Benguela. University of Cape Town. en_ZA
dc.identifier.uri http://hdl.handle.net/11427/7642
dc.description.abstract Understanding the spatial distribution of species in relationship to climatic and environmental variables is key to conservation and management of important species, as their distribution might change under climate change and variability. Based on presence absence data from scientific trawl surveys, this study used Generalized Additive Model (GAM) and Krigging with External Drift (KED) statistical techniques to determine the spatial distribution of three marine fish species of commercial interest: Merluccius capensis, Merluccius paradoxus, and Thyrsites atun, on the West and South coasts of South Africa. The modelled distributions reflect the previously determined range and habitats of the two species of hake and are in accordance with the common knowledge on the biology of the two species. Presence-absence modelling found depth to be the main factor for explaining hake distribution on both coasts. For the West coast an interaction between sea surface temperature and chlorophyll-a combined with depth as a factor was found to provide the best model. On the South coast depth was the only factor retained. The models for M. capensis and M. paradoxus are potentially useful in mapping and determining future distributions based on environmental factors. The model obtained for the spatial distribution of T. atun has a lower explanatory power than those of the two hake species. en_ZA
dc.language.iso eng en_ZA
dc.title Modelling the spatial distribution of three marine fish species in the southern Benguela en_ZA
dc.type Bachelor Thesis
uct.type.publication Research en_ZA
uct.type.resource Thesis en_ZA
dc.publisher.institution University of Cape Town
dc.publisher.faculty Faculty of Science en_ZA
dc.publisher.department Department of Biological Sciences en_ZA
dc.type.qualificationlevel Honours
dc.type.qualificationname BSc en_ZA
uct.type.filetype Text
uct.type.filetype Image
dc.identifier.apacitation Wilkes, C. (2013). <i>Modelling the spatial distribution of three marine fish species in the southern Benguela</i>. (Thesis). University of Cape Town ,Faculty of Science ,Department of Biological Sciences. Retrieved from http://hdl.handle.net/11427/7642 en_ZA
dc.identifier.chicagocitation Wilkes, Chris. <i>"Modelling the spatial distribution of three marine fish species in the southern Benguela."</i> Thesis., University of Cape Town ,Faculty of Science ,Department of Biological Sciences, 2013. http://hdl.handle.net/11427/7642 en_ZA
dc.identifier.vancouvercitation Wilkes C. Modelling the spatial distribution of three marine fish species in the southern Benguela. [Thesis]. University of Cape Town ,Faculty of Science ,Department of Biological Sciences, 2013 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/7642 en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Wilkes, Chris AB - Understanding the spatial distribution of species in relationship to climatic and environmental variables is key to conservation and management of important species, as their distribution might change under climate change and variability. Based on presence absence data from scientific trawl surveys, this study used Generalized Additive Model (GAM) and Krigging with External Drift (KED) statistical techniques to determine the spatial distribution of three marine fish species of commercial interest: Merluccius capensis, Merluccius paradoxus, and Thyrsites atun, on the West and South coasts of South Africa. The modelled distributions reflect the previously determined range and habitats of the two species of hake and are in accordance with the common knowledge on the biology of the two species. Presence-absence modelling found depth to be the main factor for explaining hake distribution on both coasts. For the West coast an interaction between sea surface temperature and chlorophyll-a combined with depth as a factor was found to provide the best model. On the South coast depth was the only factor retained. The models for M. capensis and M. paradoxus are potentially useful in mapping and determining future distributions based on environmental factors. The model obtained for the spatial distribution of T. atun has a lower explanatory power than those of the two hake species. DA - 2013 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 2013 T1 - Modelling the spatial distribution of three marine fish species in the southern Benguela TI - Modelling the spatial distribution of three marine fish species in the southern Benguela UR - http://hdl.handle.net/11427/7642 ER - en_ZA


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